Hybrid intelligent vision-based car-like vehicle backing systems design

摘要

This paper is integrated with discrete wavelet transformation (DWT), self-organizing map (SOM) neural network and fuzzy logic control methods to approach the intelligent vision-based car-like vehicle backing system. All the presented procedures are implemented as software simulations and are synthesized as hardware to describe their superiorities in our experimental platform. In a word, this study has been implemented as a car-like vehicle consists of a field programmable gate array (FPGA) chip, a CMOS image sensor, a microprocessor, a flash memory module, and servo motors. From our experimental results, this paper not only illustrates the results with computer simulation, but also demonstrates the practical car parking achievements in a real environment.